SMART BEE-HIVE MONITORING SYSTEM USING QR CODE

Smart Beehive Monitoring System Using IoT and QR Code-Based Identification This project presents a smart beehive monitoring system developed as a mini project under undergraduate studies. The system uses Internet of Things (IoT) technology to monitor important parameters such as temperature, humidity, and hive weight in real-time. Sensors are used to collect data from the beehive, which is then transmitted to a digital platform for analysis and monitoring. Each beehive is assigned a unique QR code that allows users to quickly access hive-specific information using a mobile device. This improves identification, tracking, and management of multiple beehives. The system helps beekeepers monitor hive conditions remotely, reduce manual effort, and take timely actions to improve bee health and productivity. The proposed solution is low-cost, efficient, and suitable for smart agriculture applications, especially in rural areas.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-06
DOI
https://doi.org/10.5281/zenodo.19444418
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SMART BEE-HIVE MONITORING SYSTEM USING QR CODE

Prof. Sanjay Parbhanikar Parbhanikar, Muskan khan, Harshvardhan Phadtare, Asif Shaikh Husen Shaikh et al.
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

SMART BEE-HIVE MONITORING SYSTEM USING QR CODE

Prof. Sanjay Parbhanikar Parbhanikar, Muskan khan, Harshvardhan Phadtare, Asif Shaikh Husen Shaikh, Mohammad saad Mulani
article en

Abstract

Smart Beehive Monitoring System Using IoT and QR Code-Based Identification This project presents a smart beehive monitoring system developed as a mini project under undergraduate studies. The system uses Internet of Things (IoT) technology to monitor important parameters such as temperature, humidity, and hive weight in real-time. Sensors are used to collect data from the beehive, which is then transmitted to a digital platform for analysis and monitoring. Each beehive is assigned a unique QR code that allows users to quickly access hive-specific information using a mobile device. This improves identification, tracking, and management of multiple beehives. The system helps beekeepers monitor hive conditions remotely, reduce manual effort, and take timely actions to improve bee health and productivity. The proposed solution is low-cost, efficient, and suitable for smart agriculture applications, especially in rural areas.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 7%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SMART BEE-HIVE MONITORING SYSTEM USING QR CODE — Prof. Sanjay Parbhanikar Parbhanikar, Muskan khan, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS